Understanding Cleaner Efficiency: A Comparison Tool
Purpose: This tool helps cleaning companies see how much time their cleaners take on jobs and find ways to improve efficiency.
Analysis Process:
- The tool calculates the average cleaning time for each customer's home, considering all recorded cleaning sessions and excluding outliers.
- It identifies efficient cleaning times, usually achieved by cleaners who clean the same home regularly.
- By comparing the average cleaning time with these efficient times, the tool shows the benefits of consistency and experience.
Result Interpretation:
- Overall Average Percentage Difference: Shows how much faster consistent, experienced cleaning is compared to the average.
- Customer-Specific Analysis: Detailed analysis for each customer includes average cleaning time, efficient cleaning time, and the percentage difference between them.
Advantages:
- Identify training opportunities to help all cleaners become more efficient.
- Schedule the most efficient cleaners for repeat jobs to save time and increase customer satisfaction.
- Understand the value of consistency and experience in their workforce, leading to better management and improved performance.
Guide for Organizing Cleaning Data for Upload
Data Format: Excel (.xlsx) with multiple sheets, each named after a customer.
Sheet Structure:
- Date: Date of cleaning (e.g., MM/DD/YYYY)
- First: First name of the cleaner
- Actual Time: Cleaning time in decimal format (e.g., 2.5 for 2 hours 30 minutes)
Example Data:
Sheet Name: Customer1
Date | First | Actual Time |
01/01/2023 | Alice | 2.0 |
01/15/2023 | Bob | 2.5 |
02/01/2023 | Alice | 1.75 |
Sheet Name: Customer2
Date | First | Actual Time |
01/02/2023 | Charlie | 3.0 |
01/16/2023 | David | 2.5 |
02/02/2023 | Charlie | 3.25 |
Important Notes:
- Use exact column names: Date, First, Actual Time.
- Remove blanks and ensure no missing values.
- Pre-screen to remove obvious outliers.
Upload Process:
- Prepare your Excel file.
- Click "Choose File" and select your file.
- Click "Upload" to submit for analysis.